An Algorithm for Daytime Sea Fog Detection over the Greenland Sea Based on MODIS and CALIOP Data

doi:10.2112/SI90-012.1

	An Algorithm for Daytime Sea Fog Detection over the Greenland Sea Based on MODIS and CALIOP Data
	Xiao, Yan-Fang 1; Zhang, Jie 1; Qin, Ping 2
刊名	JOURNAL OF COASTAL RESEARCH
	2019-06
页码	95-103
关键词	Sea fog low stratus MODIS CALIOP Arctic
ISSN号	0749-0208
DOI	10.2112/SI90-012.1
英文摘要	Sea fog is one of the dangerous weather disasters affecting scientific investigation and maritime transportation on the Arctic Ocean. In this paper, a detection algorithm for daytime sea fog over the Arctic Ocean is proposed taking the Greenland Sea as an example. With the assistance of satellite lidar data from CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations)/CALIOP (Cloud Aerosol Lidar with Orthogonal Polarization), a large number of sample points of sea fog, low level clouds, mid-high level clouds, the sea surface, ice, and snow were extracted from MODIS (Moderate Resolution Imaging Spectroradiometer) images. The radiance (reflectance and emissivity) and texture (mean, variance, homogeneity, contrast, dissimilarity, entropy, second moment, and correlation) characteristics of each MODIS channel for sea fog and other features were analyzed. Thereafter, a new algorithm for sea fog detection is proposed. The step-by-step algorithm first masks the sea surface, sea ice, and snow using the reflectance of MODIS channels 2 and 7. Then, the sea fog is separated from low and medium-high level clouds using the homogeneity of channel 18. The validation compared with CALIOP data shows encouraging accuracy for sea fog detection with probabilities of detection (POD) similar to 80 %, and probabilities of falsity (POF) similar to 8.5 %.
资助项目	National Key R&D Program of China[2018YFC1407200]
WOS关键词	CLOUD DETECTION ; STRATUS ; SUMMER ; DISSIPATION ; CALIPSO ; AVHRR
WOS研究方向	Environmental Sciences & Ecology ; Physical Geography ; Geology
语种	英语
出版者	COASTAL EDUCATION & RESEARCH FOUNDATION
WOS记录号	WOS:000485714500013
内容类型	期刊论文
源URL	[http://ir.fio.com.cn:8080/handle/2SI8HI0U/30245]
专题	自然资源部第一海洋研究所
通讯作者	Xiao, Yan-Fang
作者单位	1.Minist Nat Resources, Inst Oceanog 1, Qingdao, Shandong, Peoples R China 2.Ocean Univ China, Coll Informat Sci & Engn, Qingdao, Shandong, Peoples R China
推荐引用方式 GB/T 7714	Xiao, Yan-Fang,Zhang, Jie,Qin, Ping. An Algorithm for Daytime Sea Fog Detection over the Greenland Sea Based on MODIS and CALIOP Data[J]. JOURNAL OF COASTAL RESEARCH,2019:95-103.
APA	Xiao, Yan-Fang,Zhang, Jie,&Qin, Ping.(2019).An Algorithm for Daytime Sea Fog Detection over the Greenland Sea Based on MODIS and CALIOP Data.JOURNAL OF COASTAL RESEARCH,95-103.
MLA	Xiao, Yan-Fang,et al."An Algorithm for Daytime Sea Fog Detection over the Greenland Sea Based on MODIS and CALIOP Data".JOURNAL OF COASTAL RESEARCH (2019):95-103.